A joint bottom-up solution methodology for system-level pavement rehabilitation and reconstruction

作者：Lee Jinwoo^*; Madanat Samer

来源：Transportation Research Part B: Methodological , 2015, 78: 106-122.

DOI：10.1016/j.trb.2015.05.001

• Bottom-up optimization
• Pavement reconstruction
• Pavement rehabilitation
• History-dependent deterioration
• Multiple constraints

We present a methodology for the joint optimization of rehabilitation and reconstruction activities for heterogeneous pavement systems under multiple budget constraints. The proposed bottom-up approach adopts an augmented condition state to account for the history-dependent properties of pavement deterioration, and solves for steady-state policies for an infinite horizon. Genetic algorithms (GAs) are implemented in the system-level optimization based on segment-specific optimization results. The complexity of the proposed algorithm is polynomial in the size of the system and the policy-related parameters. We provide graphical presentations of the optimal solutions for various budget situations. As a case study, a subset of California's highway system is analyzed. The case study results demonstrate the economic benefit of a combined rehabilitation and reconstruction budget compared to separate budgets.

• 出版日期2015-8